2017 6th International Conference on Agro-Geoinformatics : 7-10 August 2017, Fairfax, Virginia, USA / / Institute of Electrical and Electronics Engineers |
Pubbl/distr/stampa | Piscataway, New Jersey : , : IEEE, , 2017 |
Descrizione fisica | 1 online resource (423 pages) : illustrations |
Disciplina | 338.10285 |
Soggetto topico |
Agricultural informatics
Agriculture - Geographic information systems |
ISBN | 1-5386-3884-3 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNISA-996280328703316 |
Piscataway, New Jersey : , : IEEE, , 2017 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
|
2017 6th International Conference on Agro-Geoinformatics : 7-10 August 2017, Fairfax, Virginia, USA / / Institute of Electrical and Electronics Engineers |
Pubbl/distr/stampa | Piscataway, New Jersey : , : IEEE, , 2017 |
Descrizione fisica | 1 online resource (423 pages) : illustrations |
Disciplina | 338.10285 |
Soggetto topico |
Agricultural informatics
Agriculture - Geographic information systems |
ISBN | 1-5386-3884-3 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910219880203321 |
Piscataway, New Jersey : , : IEEE, , 2017 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Agricultural Informatics : automation using the IoT and machine learning / / Amitava Choudhury [and three others] |
Autore | Choudhury Amitava |
Pubbl/distr/stampa | Newark : , : John Wiley & Sons, Inc., , 2021 |
Descrizione fisica | 1 online resource (304 pages) |
Disciplina | 338.10285 |
Collana | Advances in Learning Analytics for Intelligent Cloud-IoT Systems Ser |
Soggetto topico | Agriculture - Data processing |
ISBN |
1-119-76921-3
1-119-76923-X 1-119-76922-1 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Preface xiii 1 A -- Study on Various -- Machine -- Learning -- Algorithms and -- Their Role in -- Agriculture -- 1Kalpana Rangra -- and Amitava -- Choudhury 1.1 -- Introduction 1 -- 1.2 Conclusions -- 9 2 Smart -- Farming Using -- Machine -- Learning and IoT -- 13Alo Sen, Rahul -- Roy and Satya -- Ranjan Dash 2.1 -- Introduction 14 -- 2.2 Related Work -- 15 2.3 Problem -- Identification 22 -- 2.4 Objective -- Behind the -- Integrated Agro- -- IoT System 23 2.5 -- Proposed -- Prototype of the -- Integrated Agro- -- IoT System 23 2.6 -- Hardware -- Component -- Requirement for -- the Integrated -- Agro-IoT System -- 26 2.7 -- Comparative -- Study Between -- Raspberry Pi vs -- Beaglebone -- Black 30 2.8 -- Conclusions 31 -- 2.9 Future Work -- 32 3 Agricultural -- Informatics vis-a- -- vis Internet of -- Things (IoT): The -- Scenario, -- Applications and -- Academic Aspects-- -- International -- Trend & Indian -- Possibilities -- 35P.K. Paul 3.1 -- Introduction 36 -- 3.2 Objectives 36 -- 3.3 Methods 37 -- 3.4 Agricultural -- Informatics: An -- Account 37 3.5 -- Agricultural -- Informatics & -- Technological -- Components: -- Basics & -- Emergence 40 -- 3.6 IoT: Basics -- and -- Characteristics -- 41 3.7 IoT: The -- Applications & -- Agriculture Areas --43 3.8 -- Agricultural -- Informatics & IoT: -- The Scenario 45 -- 3.9 IoT in -- Agriculture: -- Requirement, -- Issues & -- Challenges 49 -- 3.10 -- Development, -- Economy and -- Growth: -- Agricultural -- Informatics -- Context 50 3.11 -- Academic -- Availability and -- Potentiality of IoT -- in Agricultural -- Informatics: -- International -- Scenario & Indian -- Possibilities 51 -- 3.12 Suggestions -- 60 3.13 -- Conclusion 60 4 -- Application of -- Agricultural -- Drones and IoT -- to Understand Food -- Supply Chain -- During Post -- COVID-19 -- 67Pushan Kumar -- Dutta and -- Susanta Mitra 4.1 -- Introduction 68 -- 4.2 Related Work -- 69 4.3 Smart -- Production With -- the Introduction -- of Drones and IoT -- 72 4.4 -- Agricultural -- Drones 75 4.5 -- IoT Acts as a -- Backbone in -- Addressing -- COVID-19 -- Problems in -- Agriculture 77 -- 4.6 Conclusion -- 81 5 IoT and -- Machine --Learning-Based -- Approaches for -- Real Time -- Environment -- Parameters -- Monitoring in -- Agriculture: An -- Empirical Review -- 89Parijata -- Majumdar and -- Sanjoy Mitra 5.1 -- Introduction 90 -- 5.2 Machine -- Learning (ML)- -- Based IoT -- Solution 90 5.3 -- Motivation of the -- Work 91 5.4 -- Literature Review -- of IoT-Based -- Weather and -- Irrigation -- Monitoring for -- Precision -- Agriculture 91 -- 5.5 Literature -- Review of -- Machine -- Learning-Based -- Weather and -- Irrigation -- Monitoring for -- Precision -- Agriculture 92 -- 5.6 Challenges -- 112 5.7 -- Conclusion and -- Future Work 113 -- 6 Deep Neural -- Network-Based -- Multi-Class -- Image -- Classification for -- Plant Diseases -- 117Alok Negi, -- Krishan Kumar -- and Prachi Chauhan 6.1 -- Introduction 117 -- 6.2 Related Work -- 119 6.3 -- Proposed Work -- 121 6.4 Results -- and Evaluation -- 124 6.5 -- Conclusion 127 7 -- Deep Residual -- Neural Network -- for Plant Seedling -- Image -- Classification -- 131Prachi -- Chauhan, -- Hardwari Lal -- Mandoria and -- Alok Negi 7.1 -- Introduction 131 -- 7.2 Related Work -- 136 7.3 -- Proposed Work -- 139 7.4 Result -- and Evaluation -- 142 7.5 -- Conclusion 144 8 -- Development of -- IoT-Based Smart -- Security and -- Monitoring -- Devices for -- Agriculture -- 147Himadri Nath -- Saha, Reek Roy, -- Monojit -- Chakraborty and -- Chiranmay Sarkar -- 8.1 Introduction -- 148 8.2 -- Background & -- Related Works -- 150 8.3 -- Proposed Model -- 155 8.4 -- Methodology -- 160 8.5 -- Performance -- Analysis 165 8.6 -- Future Research -- Direction 166 8.7 -- Conclusion 167 9 -- An Integrated -- Application of -- IoT-Based WSN -- in the Field of -- Indian Agriculture -- System Using -- Hybrid -- Optimization -- Technique and -- Machine -- Learning -- 171Avishek -- Banerjee, Arnab -- Mitra and -- Arindam Biswas -- 9.1 Introduction -- 172 9.2 -- Literature Review -- 175 9.3 -- Proposed Hybrid -- Algorithms (GA- -- MWPSO) 177 -- 9.4 Reliability -- Optimization and -- Coverage -- Optimization -- Model 179 9.5 -- Problem -- Description 181 -- 9.6 Numerical -- Examples, -- Results and -- Discussion 182 -- 9.7 Conclusion - 183 10 -- Decryption and -- Design of a -- Multicopter -- Unmanned Aerial -- Vehicle (UAV) for -- Heavy Lift -- Agricultural -- Operations -- 189Raghuvirsinh -- Pravinsinh -- Parmar 10.1 -- Introduction 190 -- 10.2 History of -- Multicopter -- UAVs 192 10.3 -- Basic -- Components of -- Multicopter UAV -- 193 10.4 -- Working and -- Control -- Mechanism of -- Multicopter UAV -- 207 10.5 Design -- Calculations and -- Selection of -- Components 210 -- 10.6 Conclusion -- 218 11 IoT- -- Enabled -- Agricultural -- System -- Application, -- Challenges and -- Security Issues -- 223Himadri Nath -- Saha, Reek Roy, --Monojit --Chakraborty and -- Chiranmay Sarkar -- 11.1 Introduction -- 224 11.2 -- Background & -- Related Works -- 226 11.3 -- Challenges to -- Implement IoT- -- Enabled Systems -- 232 11.4 -- Security Issues -- and Measures -- 240 11.5 Future -- Research -- Direction 243 -- 11.6 Conclusion -- 244 12 Plane -- Region Step -- Farming, Animal -- and Pest Attack -- Control Using -- Internet of -- Things -- 249Sahadev Roy, -- Kaushal -- Mukherjee and -- Arindam Biswas -- 12.1 Introduction -- 250 12.2 -- Proposed Work -- 254 12.3 -- Irrigation -- Methodology -- 257 12.4 Sensor -- Connection -- Using Internet of -- Things 259 12.5 -- Placement of -- Sensor in the -- Field 263 12.6 -- Conclusion 267 -- References 268 -- Index 271. |
Record Nr. | UNINA-9910642859303321 |
Choudhury Amitava | ||
Newark : , : John Wiley & Sons, Inc., , 2021 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Agricultural Informatics : automation using the IoT and machine learning / / Amitava Choudhury [and three others] |
Autore | Choudhury Amitava |
Pubbl/distr/stampa | Newark : , : John Wiley & Sons, Inc., , 2021 |
Descrizione fisica | 1 online resource (304 pages) |
Disciplina | 338.10285 |
Collana | Advances in Learning Analytics for Intelligent Cloud-IoT Systems Ser |
Soggetto topico | Agriculture - Data processing |
ISBN |
1-119-76921-3
1-119-76923-X 1-119-76922-1 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Preface xiii 1 A -- Study on Various -- Machine -- Learning -- Algorithms and -- Their Role in -- Agriculture -- 1Kalpana Rangra -- and Amitava -- Choudhury 1.1 -- Introduction 1 -- 1.2 Conclusions -- 9 2 Smart -- Farming Using -- Machine -- Learning and IoT -- 13Alo Sen, Rahul -- Roy and Satya -- Ranjan Dash 2.1 -- Introduction 14 -- 2.2 Related Work -- 15 2.3 Problem -- Identification 22 -- 2.4 Objective -- Behind the -- Integrated Agro- -- IoT System 23 2.5 -- Proposed -- Prototype of the -- Integrated Agro- -- IoT System 23 2.6 -- Hardware -- Component -- Requirement for -- the Integrated -- Agro-IoT System -- 26 2.7 -- Comparative -- Study Between -- Raspberry Pi vs -- Beaglebone -- Black 30 2.8 -- Conclusions 31 -- 2.9 Future Work -- 32 3 Agricultural -- Informatics vis-a- -- vis Internet of -- Things (IoT): The -- Scenario, -- Applications and -- Academic Aspects-- -- International -- Trend & Indian -- Possibilities -- 35P.K. Paul 3.1 -- Introduction 36 -- 3.2 Objectives 36 -- 3.3 Methods 37 -- 3.4 Agricultural -- Informatics: An -- Account 37 3.5 -- Agricultural -- Informatics & -- Technological -- Components: -- Basics & -- Emergence 40 -- 3.6 IoT: Basics -- and -- Characteristics -- 41 3.7 IoT: The -- Applications & -- Agriculture Areas --43 3.8 -- Agricultural -- Informatics & IoT: -- The Scenario 45 -- 3.9 IoT in -- Agriculture: -- Requirement, -- Issues & -- Challenges 49 -- 3.10 -- Development, -- Economy and -- Growth: -- Agricultural -- Informatics -- Context 50 3.11 -- Academic -- Availability and -- Potentiality of IoT -- in Agricultural -- Informatics: -- International -- Scenario & Indian -- Possibilities 51 -- 3.12 Suggestions -- 60 3.13 -- Conclusion 60 4 -- Application of -- Agricultural -- Drones and IoT -- to Understand Food -- Supply Chain -- During Post -- COVID-19 -- 67Pushan Kumar -- Dutta and -- Susanta Mitra 4.1 -- Introduction 68 -- 4.2 Related Work -- 69 4.3 Smart -- Production With -- the Introduction -- of Drones and IoT -- 72 4.4 -- Agricultural -- Drones 75 4.5 -- IoT Acts as a -- Backbone in -- Addressing -- COVID-19 -- Problems in -- Agriculture 77 -- 4.6 Conclusion -- 81 5 IoT and -- Machine --Learning-Based -- Approaches for -- Real Time -- Environment -- Parameters -- Monitoring in -- Agriculture: An -- Empirical Review -- 89Parijata -- Majumdar and -- Sanjoy Mitra 5.1 -- Introduction 90 -- 5.2 Machine -- Learning (ML)- -- Based IoT -- Solution 90 5.3 -- Motivation of the -- Work 91 5.4 -- Literature Review -- of IoT-Based -- Weather and -- Irrigation -- Monitoring for -- Precision -- Agriculture 91 -- 5.5 Literature -- Review of -- Machine -- Learning-Based -- Weather and -- Irrigation -- Monitoring for -- Precision -- Agriculture 92 -- 5.6 Challenges -- 112 5.7 -- Conclusion and -- Future Work 113 -- 6 Deep Neural -- Network-Based -- Multi-Class -- Image -- Classification for -- Plant Diseases -- 117Alok Negi, -- Krishan Kumar -- and Prachi Chauhan 6.1 -- Introduction 117 -- 6.2 Related Work -- 119 6.3 -- Proposed Work -- 121 6.4 Results -- and Evaluation -- 124 6.5 -- Conclusion 127 7 -- Deep Residual -- Neural Network -- for Plant Seedling -- Image -- Classification -- 131Prachi -- Chauhan, -- Hardwari Lal -- Mandoria and -- Alok Negi 7.1 -- Introduction 131 -- 7.2 Related Work -- 136 7.3 -- Proposed Work -- 139 7.4 Result -- and Evaluation -- 142 7.5 -- Conclusion 144 8 -- Development of -- IoT-Based Smart -- Security and -- Monitoring -- Devices for -- Agriculture -- 147Himadri Nath -- Saha, Reek Roy, -- Monojit -- Chakraborty and -- Chiranmay Sarkar -- 8.1 Introduction -- 148 8.2 -- Background & -- Related Works -- 150 8.3 -- Proposed Model -- 155 8.4 -- Methodology -- 160 8.5 -- Performance -- Analysis 165 8.6 -- Future Research -- Direction 166 8.7 -- Conclusion 167 9 -- An Integrated -- Application of -- IoT-Based WSN -- in the Field of -- Indian Agriculture -- System Using -- Hybrid -- Optimization -- Technique and -- Machine -- Learning -- 171Avishek -- Banerjee, Arnab -- Mitra and -- Arindam Biswas -- 9.1 Introduction -- 172 9.2 -- Literature Review -- 175 9.3 -- Proposed Hybrid -- Algorithms (GA- -- MWPSO) 177 -- 9.4 Reliability -- Optimization and -- Coverage -- Optimization -- Model 179 9.5 -- Problem -- Description 181 -- 9.6 Numerical -- Examples, -- Results and -- Discussion 182 -- 9.7 Conclusion - 183 10 -- Decryption and -- Design of a -- Multicopter -- Unmanned Aerial -- Vehicle (UAV) for -- Heavy Lift -- Agricultural -- Operations -- 189Raghuvirsinh -- Pravinsinh -- Parmar 10.1 -- Introduction 190 -- 10.2 History of -- Multicopter -- UAVs 192 10.3 -- Basic -- Components of -- Multicopter UAV -- 193 10.4 -- Working and -- Control -- Mechanism of -- Multicopter UAV -- 207 10.5 Design -- Calculations and -- Selection of -- Components 210 -- 10.6 Conclusion -- 218 11 IoT- -- Enabled -- Agricultural -- System -- Application, -- Challenges and -- Security Issues -- 223Himadri Nath -- Saha, Reek Roy, --Monojit --Chakraborty and -- Chiranmay Sarkar -- 11.1 Introduction -- 224 11.2 -- Background & -- Related Works -- 226 11.3 -- Challenges to -- Implement IoT- -- Enabled Systems -- 232 11.4 -- Security Issues -- and Measures -- 240 11.5 Future -- Research -- Direction 243 -- 11.6 Conclusion -- 244 12 Plane -- Region Step -- Farming, Animal -- and Pest Attack -- Control Using -- Internet of -- Things -- 249Sahadev Roy, -- Kaushal -- Mukherjee and -- Arindam Biswas -- 12.1 Introduction -- 250 12.2 -- Proposed Work -- 254 12.3 -- Irrigation -- Methodology -- 257 12.4 Sensor -- Connection -- Using Internet of -- Things 259 12.5 -- Placement of -- Sensor in the -- Field 263 12.6 -- Conclusion 267 -- References 268 -- Index 271. |
Record Nr. | UNINA-9910830653703321 |
Choudhury Amitava | ||
Newark : , : John Wiley & Sons, Inc., , 2021 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Agriculture 5.0 : artificial intelligence, IOT and machine learning / Latief Ahmad, Firasath Nabi |
Autore | Ahmad, Latief |
Pubbl/distr/stampa | Boca Raton, : CRC Press, , 2021 |
Descrizione fisica | XII, 224 p. : ill. ; 25 cm |
Disciplina | 338.10285 |
Altri autori (Persone) | Nabi, Firasath |
Soggetto non controllato | Intelligenza artificiale - applicazione in agricoltura |
ISBN | 9780367646080 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910492852603321 |
Ahmad, Latief | ||
Boca Raton, : CRC Press, , 2021 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Artificial intelligence and heuristics for enhanced food security / / Chandrasekar Vuppalapati |
Autore | Vuppalapati Chandrasekar |
Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
Descrizione fisica | 1 online resource (910 pages) |
Disciplina | 338.10285 |
Collana | International series in operations research & management science |
Soggetto topico | Artificial intelligence - Agricultural applications |
ISBN |
9783031087431
9783031087424 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910595049503321 |
Vuppalapati Chandrasekar | ||
Cham, Switzerland : , : Springer, , [2022] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Computer vision and machine learning in agriculture . Volume 2 / / Mohammad Shorif Uddin and Jagdish Chand Bansal |
Autore | Uddin Mohammad Shorif |
Pubbl/distr/stampa | Singapore : , : Springer, , [2022] |
Descrizione fisica | 1 online resource (269 pages) |
Disciplina | 338.10285 |
Collana | Algorithms for Intelligent Systems |
Soggetto topico |
Artificial intelligence - Agricultural applications
Machine learning - Development |
ISBN |
981-16-9991-7
981-16-9990-9 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910743346603321 |
Uddin Mohammad Shorif | ||
Singapore : , : Springer, , [2022] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Data science in agriculture and natural resource management / / G.P. Obi Reddy [and three others] editors |
Pubbl/distr/stampa | Singapore : , : Springer, , [2022] |
Descrizione fisica | 1 online resource (326 pages) |
Disciplina | 338.10285 |
Collana | Studies in Big Data |
Soggetto topico |
Agriculture - Data processing
Natural resources - Management - Data processing |
ISBN |
981-16-5847-1
981-16-5846-3 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910743385403321 |
Singapore : , : Springer, , [2022] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Digital technologies for agricultural and rural development in the global South / / edited by Richard Duncombe |
Pubbl/distr/stampa | Wallingford, Oxfordshire, UK ; ; Boston, MA : , : CABI, , [2018] |
Descrizione fisica | 1 online resource (164 pages) |
Disciplina | 338.10285 |
Soggetto topico |
Information technology
Agriculture - Data processing |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910627292403321 |
Wallingford, Oxfordshire, UK ; ; Boston, MA : , : CABI, , [2018] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Fundamental and Applied Scientific Research in the Development of Agriculture in the Far East (AFE-2022) : Agricultural Cyber-Physical Systems, Volume 2 / / edited by Khasanov Sayidjakhon Zokirjon ugli, Aleksei Muratov, Svetlana Ignateva |
Autore | Zokirjon ugli Khasanov Sayidjakhon |
Edizione | [1st ed. 2023.] |
Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
Descrizione fisica | 1 online resource (1029 pages) |
Disciplina | 338.10285 |
Altri autori (Persone) |
MuratovAleksei
IgnatevaSvetlana |
Collana | Lecture Notes in Networks and Systems |
Soggetto topico |
Computational intelligence
Cooperating objects (Computer systems) Agriculture Computational Intelligence Cyber-Physical Systems |
ISBN | 3-031-36960-2 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Intro -- Contents -- Contributors -- Modelling an Agricultural Production Structure Optimal Under Climate Risks -- 1 Introduction -- 2 Methods -- 3 Results -- 4 Conclusion -- References -- Methodology for Assessing and Predicting the Rate of Production for the Construction Industry of the Russian Federation -- 1 Introduction -- 2 Materials and Methods -- 3 Results -- 4 Discussion -- 5 Conclusions -- References -- On Methods for Determining the Moisture Content of Materials in a Confined Medium -- 1 Introduction -- 2 Research Methods -- 3 Methods -- 4 Experiment and Calculations -- 5 Conclusion -- References -- Analysis of Possible Values for Generalized Velocities Vector of Planar Manipulator Mechanisms -- 1 Introduction -- 2 Problem Statement -- 3 Research -- 4 Conclusion -- References -- Analysis of the ROS of Transportation and Storage in the Irkutsk Region -- 1 Introduction -- 2 Materials and Methods -- 3 Results -- 4 Discussion -- 5 Conclusion -- References -- Analysis of the Incidence of Hepatosis in Cows Under Conditions of Technogenesis -- 1 Introduction -- 2 Materials and Methods -- 3 Results and Discussion -- 4 Conclusion -- References -- Stimulation of Agricultural Poultry Productivity by Using Biologically Active Additives -- 1 Introduction -- 2 Materials and Methods -- 3 Results and Discussion -- 4 Conclusion -- References -- Comprehensive Evaluation of the Effectiveness of Endometritis Treatment in Cows -- 1 Introduction -- 2 Materials and Methods -- 3 Results and Discussion -- 4 Conclusion -- References -- The Effect of Amaranth on the Meat Productivity of Broiler Chickens -- 1 Introduction -- 2 Materials and Methods -- 3 Results and Discussion -- 4 Conclusion -- References -- Immunoperoxidase Test for Identification of PCV2 in RK-15 Cell Culture -- 1 Introduction -- 2 Materials and Methods -- 3 Results and Discussion.
4 Conclusion -- References -- Evaluation of New Biological Products in Calf Rearing -- 1 Introduction -- 2 Materials and Methods -- 3 Results and Discussion -- 4 Conclusion -- References -- Generalized Adaptive Kalman Filter of Navigation Measurements Based on Non-periodic Satellite Observations -- 1 Introduction -- 2 Methods -- 3 Discussion -- 4 Results -- 5 Conclusion -- References -- Genotyping of the Holstein Population of Cattle According to the Genes Involved in the Formation of Milk Protein -- 1 Introduction -- 2 Materials and Methods -- 3 Results and Discussion -- 4 Conclusion -- References -- Probabilistic Assessment of Musical Compositions' Meaning: Algorithmic Support for Artificial Intelligence Systems -- 1 Introduction -- 2 Materials and Methods -- 3 Discussion and Results -- 4 Conclusion -- References -- Strengthening of Soils During the Construction of Cement-Ground Piles -- 1 Introduction -- 2 Materials and Methods -- 3 Results and Conclusions -- References -- Influence of a Complex Feed Additive on the Metabolism and Meat Productivity of Ducks -- 1 Introduction -- 2 Materials and Methods -- 3 Results and Discussion -- 4 Conclusion -- References -- Simulation of the Electrolytic Copper Refining Process -- 1 Introduction -- 2 Methods -- 3 Results -- 4 Conclusion -- References -- Study of Alumina Grinding in Ball Mills -- 1 Introduction -- 2 Methods -- 3 Results -- 4 Conclusion -- References -- The Indirect Quality Indicators of the Process -- 1 Introduction -- 2 Methods -- 3 Results -- 4 Discussion -- 5 Conclusion -- References -- On Responsibility for the Decisions of Robots and Complex Information Systems -- 1 Introduction -- 2 The Problem of Responsibility for Artificial Intelligence Decisions: Background -- 3 State Automated Information Systems as a Quasi-subject That Makes Decisions. 4 Classification of AI and AIS Decisions According to Their Legal Consequences -- 5 Subject Model of Distribution of Responsibility for Decisions of Robots and Automated Systems -- 6 Conclusions and Prospects -- References -- Improving of the Process Freeze Drying of Plums -- 1 Introduction -- 2 Methods and Objects -- 2.1 Experiments on the Drying Process -- 2.2 Determination of Humidity in the Composition of the Product -- 2.3 Determination of the Regression Coefficient -- 3 Results and Discussion -- 3.1 Temperature Change During Freeze Drying -- 4 Conclusion -- References -- Modeling of Chemical Processes Based on Parallel Computing for Multicore Systems -- 1 Introduction -- 2 Materials and Methods -- 3 Results -- 4 Discussion -- 5 Conclusions -- References -- Mechanic's Conservation Laws for a Single Layer Plate's Sound Insulation Calculation -- 1 Introduction -- 2 Materials and Methods -- 3 Results and Discussion -- 4 Conclusions -- References -- Considering the Risks of Anthropogenic Disasters and Accidents in Ensuring the Sustainable Development of Water Transport in Russia -- 1 Introduction -- 2 Materials and Methods -- 3 Results -- 4 Discussion -- 5 Conclusion -- References -- Analysis of Technical Solutions for the Creation and Development of the Quantum Internet -- 1 Introduction -- 2 Results -- 3 Discussion -- 4 Conclusion -- References -- Innovative Pedagogical Technologies as a Condition of Training Specialists for Transport Industry -- 1 Introduction -- 1.1 Literature Review -- 2 Materials and Methods -- 3 Results -- 4 Discussion -- 4.1 Location and Organization of "Fresh" Training Lessons -- 4.2 Methodology -- 5 Conclusions -- References -- Function Approximation for Using the Uncertainty Theory in Preliminary Aircraft Aerodynamic Design -- 1 Introduction -- 2 Preliminary Data Processing -- 3 Multiple Non-linear Regression. 4 Cubic Spline Interpolation -- 5 Neural Networks -- 6 Comparison of Obtained Results by Cubic Splines and Neural Network with Actual Data -- 7 Conclusion -- References -- Study of the Microstructure of Weld Metal Obtained by Plasma Surfacing -- 1 Introduction -- 2 Materials and Methods -- 3 Results and Discussion -- 4 Conclusions -- References -- On Trends in the Development of Algorithms Implemented in Decision Support Systems -- 1 Introduction -- 2 Materials and Methods -- 3 Results -- 4 Discussion -- 5 Conclusions -- References -- Influence of Solar Radiation in the Permafrost Zone on Climate Risks in Relation to Road Transport Infrastructure Facilities -- 1 Introduction -- 2 Theoretical Research -- 3 Calculations -- 4 Conclusions -- References -- Determination of Optimal Lubricant for Installing Cylinder Head Studs -- 1 Introduction -- 2 Goals and Objectives Are as Follows -- 3 Study Method -- 4 Testing Results -- 5 Conclusions -- References -- Wheel Load Balancing on the Tandem Axle Equalizer -- 1 Introduction -- 2 Materials and Methods -- 3 Discussion -- 4 Conclusion -- References -- Method for Assessing the Corrosion of Aluminum Alloys by the Composition of Alloying Elements -- 1 Introduction -- 2 Materials and Methods of Research -- 3 Measuring the Potential of the Aluminum Surface -- 4 Experimental Results -- 5 Conclusion -- References -- Increasing the Efficiency of Vibro-Abrasive Treatment of Transport Machine Parts by Combining Processing Media -- 1 Introduction -- 2 The Effect of Combined Processing Media on the Intensification of VAT -- 3 Surface Quality Assurance with Combined Media -- 4 Justification of the Mass-Size Composition of Combined Media -- 5 Discussion of the Results and Conclusions -- References -- Improving the Durability of Paint Coatings for Painting Car Bodies -- 1 Introduction -- 2 Materials and Methods. 3 Results and Discussion -- 4 Conclusion -- References -- Specific Energy Consumption of Sewerage System in Building -- 1 Introduction -- 2 Methods and Materials -- 3 Results and Discussion -- 4 Conclusion -- References -- Depth of Thermal Influence of Automobile Roads -- 1 Introduction -- 2 Materials and Methods -- 3 Results and Discussion -- 4 Conclusion -- References -- Sustainability of Road Safety in Large Cities: Methodology and Results -- 1 Introduction -- 2 Methods and Problem Statement -- 3 Data and Research Results -- 3.1 Data -- 3.2 Time Series ELRS RF = f(2004…2021) -- 3.3 Time Series ELRS Moscow = f(300 Days of 2021) and ELRS Saint-Petersburg = F(300 Days of 2021) -- 4 Explanation of Results and Conclusions -- References -- Process Mining Platform of a Flexible and Sustainable Transportation Company -- 1 Introduction -- 2 Materials and Methods -- 3 Results -- 4 Conclusion -- References -- Transport System for Multi-channel Food Chain Sales: A Diversified Approach -- 1 Introduction -- 2 Problem Statement -- 3 Research Questions -- 4 Purpose of the Study -- 5 Materials and Methods -- 6 Results -- 7 Discussion -- 8 Conclusion -- References -- Export Potential of the Logistics and Transport System of the Rostov Region -- 1 Introduction -- 2 Problem Statement -- 3 Research Questions -- 4 Purpose of the Study -- 5 Materials and Methods -- 6 Results -- 7 Discussion -- 8 Conclusion -- References -- Information and Culture Hubs as the Key Points of the Cluster Concept for Small Historical Settlements -- 1 Introduction -- 2 Methods -- 3 Results -- 4 Discussion -- 5 Conclusions -- References -- Eigenvalues of the Boundary Problem of the Elasticity for a Planar Area with a Wedge-Shape Boundary Notch -- 1 Introduction -- 2 Solving of Homogenous Elasticity Theory Problems -- 3 Results -- 4 Discussion -- 5 Conclusion -- References. Analysis of Cold Water Supply System Consumption in a Multi-apartment Residential Building. |
Record Nr. | UNINA-9910736005803321 |
Zokirjon ugli Khasanov Sayidjakhon | ||
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|